Xiaohongshu Post Scraper
Scrape Xiaohongshu (Little Red Book) Post Data to a Spreadsheet
Extract post titles, like counts, comment counts, save counts, author usernames, follower counts, tags, and product mentions from Xiaohongshu feeds and search results. No API, no code — just open the page and extract.
Each example shows how a live website can become a reviewable dataset inside the DataLens AI scraping workbench.
What data gets extracted
DataLens automatically detects and extracts these fields from Xiaohongshu — no selectors, no code, no maintenance.
Decision-ready dataset
What teams can decide with Xiaohongshu data
Use Xiaohongshu as a live source for an AI scraping workbench: collect the fields, clean the noisy rows, and turn the result into market, lead, content, or operations evidence.
Spot patterns
Compare listings, reviews, creators, products, or posts across the fields that matter.
Prioritize action
Move from raw rows to ranked opportunities, risks, accounts, or content ideas.
Share proof
Keep the exported file and source context ready for teammates, clients, or follow-up analysis.
How it works
- 1
Open a Xiaohongshu feed, search results, or creator profile in Chrome.
- 2
Launch DataLens and let the AI detect the post card structure.
- 3
Scroll to load more posts and export to CSV or Excel.
Frequently asked questions
Use these questions to decide how a live website becomes an AI scraping workflow.
What Xiaohongshu data can DataLens extract?
DataLens extracts post titles, like counts, comment counts, save counts, author usernames, follower counts, hashtag tags, and publish dates from Xiaohongshu feeds and search result pages.
Do I need a Xiaohongshu API key?
No. DataLens reads content rendered in your Chrome browser without any API credentials.
Can I extract Xiaohongshu product reviews?
Yes. Navigate to a product page or review thread and DataLens will detect the post/card structure and extract the visible content.
Can I export to Excel?
Yes. Export Xiaohongshu data to CSV, Excel (XLSX), or JSON for brand monitoring, influencer research, or market analysis.
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Compare adjacent collection paths by source, export format, and team job.
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